346 search results - page 9 / 70 » Learning by Propagability |
JAIR
2010
14 years 10 months ago
2010
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
ICML
2004
IEEE
16 years 15 days ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
84
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ICCS
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conference (XSSC) web do...
115
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ICML
2010
IEEE
15 years 23 days ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
112
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...